AI Security
In Active Build

Xenith Seal

Proof-layer for autonomous AI - every decision cryptographically sealed.

Xenith Seal is middleware that wraps an AI agent or model with immutable audit recording, policy enforcement, and zero-knowledge compliance proofs. Thin SDK wrap, under 30ms overhead in typical paths. Deployed as an engagement into your stack.

Shadow-mode pattern in under 1 day
Scoped engagement · enterprise roadmap

Arbitrum L2 anchoring · Groth16 ZK proofs · Policy smart contracts

Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.

What a typical engagement delivers

  • SDK connected to one production AI workflow in shadow mode
  • First 1,000 decisions recorded with integrity monitoring live
  • One policy template deployed (fintech, healthcare, or custom draft)
  • Audit Console access with live decision feed

Shadow-mode pattern in under 1 day - built into your environment, handed over as a production system.

What's included

Typical engagement deliverables

Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.

1

SDK connected to one production AI workflow in shadow mode

2

First 1,000 decisions recorded with integrity monitoring live

3

One policy template deployed (fintech, healthcare, or custom draft)

4

Audit Console access with live decision feed

5

First anchored proof verifiable on a public L2 explorer

How it works

  • Two-line SDK (Node.js / Python) wraps existing OpenAI, Anthropic, LangChain, or LangGraph calls
  • Immutable decision hash chain: input + output + model ID + policy version, SHA-256 signed
  • Policy engine with fintech templates, data whitelist/blacklist, and human-in-the-loop escalation
  • Zero-knowledge proofs that compliance held - without exposing raw customer data
  • Merkle-batched anchoring to Arbitrum L2 for court-admissible, third-party verifiable records
  • Shadow mode: observe and score without blocking your production AI path
  • Fail-open by default so Seal never becomes a single point of failure
  • EU AI Act report templates auto-generated from your audit trail

Who this is for

Fintech: fair-lending and AML policies enforced on every credit decision an agent makes
Healthcare: prove an FDA-cleared model version produced a diagnostic without exposing PHI
Enterprise security: hard permission boundaries so agents physically cannot exceed policy
Regulators and auditors: verify any decision UUID via public API - no customer account required

Want Xenith Seal in your environment?

Book a 30-minute call. We'll map your use case, confirm fit, and outline a deployment timeline - no self-serve trial, no pitch deck.

Shadow-mode pattern in under 1 day from kickoff.

See it in production

Case study

Banking AI ops: maker-checker agents with full audit trails

Read the results

From the blog

Building the proof layer for autonomous AI agents

Read the guide